{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from matplotlib import pyplot as plt\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "pop_df=pd.read_csv(r'C:\\Users\\Yasaman\\Downloads\\World_bank_population.csv',skiprows=3)\n",
    "pop_df=pop_df[['Country Code','2019']].dropna()\n",
    "pop_df['2019']=pop_df['2019'].astype(int)\n",
    "possible_countries=pop_df.query(\" `2019` >=1000000\")['Country Code'].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "excluded_iso3_codes = [\n",
    "    \"IRL\",  # Ireland\n",
    "    \"SSD\",  # South Sudan\n",
    "    \"SDN\",  # Sudan\n",
    "    \"COG\",  # Republic of the Congo\n",
    "    \"COD\",  # Democratic Republic of the Congo\n",
    "    \"GIN\",  # Guinea\n",
    "    \"GNB\",  # Guinea-Bissau\n",
    "    \"GNQ\",  # Equatorial Guinea\n",
    "    \"PNG\",  # Papua New Guinea\n",
    "    \"XKX\",  # Kosovo (unofficial)\n",
    "    \"MNE\",  # Montenegro\n",
    "    \"SRB\",  # Serbia\n",
    "    \"TLS\"   # Timor-Leste\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "possible_iso=list(set(possible_countries)-set(excluded_iso3_codes))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "Country_list={'Egypt':'EGY', 'Tunisia':'TUN','Libya':'LBY','Syria':'SYR','Yemen':'YEM','Bahrain':'BHR','Jordan':'JOR','Kuwait':'KWT','Morocco':'MAR','Oman':'OMN'}\n",
    "rev_Country_list={Country_list[key]: key for key in Country_list}\n",
    "abbr=[country.lower() for country in Country_list.values()]\n",
    "c_list=list(Country_list.values())\n",
    "years=np.arange(2002, 2020, 1)\n",
    "df=pd.read_csv(r\"C:\\Users\\Yasaman\\Arab_spring_scholarly_attention\\Data\\Migration\\scopus_2024_V1_scholarlymigration_countryflows_enriched_new.csv\")\n",
    "df=df[df['year'].isin(years)].reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "religion_df=pd.read_csv(r'C:\\Users\\Yasaman\\Arab_spring_scholarly_attention\\Data\\Religion\\cleaned_religion.csv')\n",
    "df=df.merge(religion_df, left_on='iso3codeto', right_on='name_iso')\n",
    "df=df[df['name_iso'].isin(possible_iso)].reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "years_before=np.arange(2002, 2011, 1)\n",
    "years_after=np.arange(2011, 2020, 1)\n",
    "world_before=df[df['year'].isin(years_before)].groupby('most_religion')['n_migrations'].sum().reset_index().rename(columns={'n_migrations':'world(Pre-Arabspring)'})\n",
    "world_after=df[df['year'].isin(years_after)].groupby('most_religion')['n_migrations'].sum().reset_index().rename(columns={'n_migrations':'world(Post-Arabspring)'})\n",
    "\n",
    "\n",
    "target_before=df[(df['year'].isin(years_before))&(df['iso3codefrom'].isin(c_list))].groupby('most_religion')['n_migrations'].sum().reset_index().rename(columns={'n_migrations':'Target(Pre-Arabspring)'})\n",
    "target_after=df[(df['year'].isin(years_after))&(df['iso3codefrom'].isin(c_list))].groupby('most_religion')['n_migrations'].sum().reset_index().rename(columns={'n_migrations':'Target(Post-Arabspring)'})\n",
    "res=world_after.merge(target_after).merge(world_before).merge(target_before)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "for col in res.columns[1:]:\n",
    "    res[col]/=sum(res[col])\n",
    "res.index=res.most_religion\n",
    "del res['most_religion']\n",
    "\n",
    "res=res.transpose().reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>most_religion</th>\n",
       "      <th>index</th>\n",
       "      <th>Buddhism</th>\n",
       "      <th>Christianity</th>\n",
       "      <th>Hindu</th>\n",
       "      <th>Islam</th>\n",
       "      <th>Judaism</th>\n",
       "      <th>Non. Religious</th>\n",
       "      <th>Shinto</th>\n",
       "      <th>Syncretic Religions</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>world(Post-Arabspring)</td>\n",
       "      <td>0.020019</td>\n",
       "      <td>0.748863</td>\n",
       "      <td>0.022131</td>\n",
       "      <td>0.085525</td>\n",
       "      <td>0.007426</td>\n",
       "      <td>0.023536</td>\n",
       "      <td>0.024675</td>\n",
       "      <td>0.067825</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Target(Post-Arabspring)</td>\n",
       "      <td>0.003177</td>\n",
       "      <td>0.472428</td>\n",
       "      <td>0.017838</td>\n",
       "      <td>0.461921</td>\n",
       "      <td>0.000896</td>\n",
       "      <td>0.007901</td>\n",
       "      <td>0.021259</td>\n",
       "      <td>0.014580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>world(Pre-Arabspring)</td>\n",
       "      <td>0.016325</td>\n",
       "      <td>0.809215</td>\n",
       "      <td>0.016516</td>\n",
       "      <td>0.051439</td>\n",
       "      <td>0.007575</td>\n",
       "      <td>0.023850</td>\n",
       "      <td>0.036457</td>\n",
       "      <td>0.038624</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Target(Pre-Arabspring)</td>\n",
       "      <td>0.002890</td>\n",
       "      <td>0.598330</td>\n",
       "      <td>0.020067</td>\n",
       "      <td>0.334725</td>\n",
       "      <td>0.000963</td>\n",
       "      <td>0.006422</td>\n",
       "      <td>0.031947</td>\n",
       "      <td>0.004656</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "most_religion                    index  Buddhism  Christianity     Hindu  \\\n",
       "0               world(Post-Arabspring)  0.020019      0.748863  0.022131   \n",
       "1              Target(Post-Arabspring)  0.003177      0.472428  0.017838   \n",
       "2                world(Pre-Arabspring)  0.016325      0.809215  0.016516   \n",
       "3               Target(Pre-Arabspring)  0.002890      0.598330  0.020067   \n",
       "\n",
       "most_religion     Islam   Judaism  Non. Religious    Shinto  \\\n",
       "0              0.085525  0.007426        0.023536  0.024675   \n",
       "1              0.461921  0.000896        0.007901  0.021259   \n",
       "2              0.051439  0.007575        0.023850  0.036457   \n",
       "3              0.334725  0.000963        0.006422  0.031947   \n",
       "\n",
       "most_religion  Syncretic Religions  \n",
       "0                         0.067825  \n",
       "1                         0.014580  \n",
       "2                         0.038624  \n",
       "3                         0.004656  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "res"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
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",
      "text/plain": [
       "<Figure size 2560x1920 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax=plt.subplots(nrows=1, ncols=1, dpi=400)\n",
    "res.plot(x='index', kind='barh', stacked=True, ax=ax)\n",
    "ax.set_xlabel('Scholarly migration destination share %')\n",
    "ax.set_ylabel(' ')\n",
    "# Put the legend outside the plot area\n",
    "lgd=ax.legend( bbox_to_anchor=(1, -.25), ncol=4, frameon=False)\n",
    "fig.tight_layout()\n",
    "fig.savefig('Religion_and_migration.pdf', bbox_extra_artists=(lgd,), bbox_inches='tight')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "base",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
